$1.926
+0.047 (+2.45%)Zum Schluss
Kursprognosen
In der App öffnen, um Prognosen mit längerem Horizont freizuschalten.
MOGU-Prognose durch Analyse ähnlicher Charts
Alphio's MOGU stock price prediction model matches the current Mogu Inc tape against historical breakout patterns, then publishes 1-day and 1-week targets first. The 1-day print is $1.80 (-6.30%). The 1-week path is $2.22 (+15.06%). Longer windows use the same pattern set plus seasonality; the 1-month and multi-year forecasts sit behind unlock because they include precise min / avg / max bands.
Soll ich Mogu Inc-Aktien kaufen?
Mogu Inc. is not a strong buy at the moment due to its current price of $1.88, which is significantly below its 200-day simple moving average of $2.231, indicating a bearish trend. Additionally, the stock has a forward P/E ratio of 41.15, suggesting it may be overvalued given its recent financial struggles, including a net loss of RMB 48.6 million reported in June 2026. The main risk is the declining revenue trend, which fell to RMB 56.7 million from RMB 79.4 million year-over-year, highlighting challenges in the e-commerce sector.
MOGU schloss am Tuesday bei $1.93, nachdem der Kurs +2.45% gestiegen ist
Mogu Inc (MOGU) last closed at $1.926, gaining +2.45%. These facts feed the 1-day and 1-week MOGU price prediction above.
Prognose-Treiber
Die Prognose-Treiber von Mogu Inc (MOGU) kombinieren ähnliche Chartmuster, Saisonalität und gleitende Durchschnitte.
Similar patterns
Bullish
Seasonality
Bullish
SMA 20
Bullish
SMA 200
Bearish
Ähnliche Chartmuster
Aktien, deren jüngster Kursverlauf MOGU am ähnlichsten ist, sortiert nach Ähnlichkeit.
Saisonalitätsanalyse für MOGU
Historically the probability of a positive September return for MOGU is 88.37%. October offers the highest probability of a positive month at 100.00%, while June is the weakest seasonal window. Alphio blends this calendar with technical signals and similar chart pattern matching before it writes the forecast.
Diese Seite dient nur der Recherche und ist keine Anlageberatung. Modelle können falsch liegen. Vergangene Wertentwicklung ist kein Indikator für die Zukunft.